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5 search results found

Time Series Prediction ⭐ 762

tfts: Time series deep learning models in TensorFlow

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Doppelganger ⭐ 259

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Timeseries_gan ⭐ 246

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

Mad Gans ⭐ 170

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

Gan Rnn_timeseries Imputation ⭐ 118

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Deepecho ⭐ 75

Synthetic Data Generation for mixed-type, multivariate time series.

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

Pytorch Gan Timeseries ⭐ 47

GANs for time series generation in pytorch

Mtss Gan ⭐ 27

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Mv Temporal Rgan ⭐ 18

Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image generation

Gan_time_series ⭐ 14

A model to generate time series data with the purpose of augmenting a dataset of various time series.

Timeseries Gan ⭐ 13

Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.

Semisupervised_timeseries_infogan ⭐ 11

A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a supervised loss function. So it's called semisupervised Info GAN.

Synthetic Data For Finance ⭐ 8

Material for QuantUniversity talk on Sythetic Data Generation for Finance.

Gans_for_spiking_time_series ⭐ 7

Generative Adversarial Networks for time-series generation

Generating_financial_time_series_with_gan ⭐ 7

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